Lifan Long

According to our database, Lifan Long authored at least 9 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Nonlinear Spiking Neural Systems With Autapses for Predicting Chaotic Time Series.

Qian Liu, Hong Peng, Lifan Long, Jun Wang, Qian Yang, Mario J. Pérez-Jiménez, David Orellana-Martín

IEEE Trans. Cybern., March, 2024

A reservoir computing model based on nonlinear spiking neural P systems for time series forecasting.

Lifan Long, Chenggang Guo, Xin Xiong, Hong Peng, Jun Wang

Appl. Soft Comput., 2024

CMIB: A Cross Modal Interaction with Information Bottleneck Framework for Multimodal Survival Analysis.

Zhouyou Lai, Lifan Long, Jiaqi Cui, Deng Xiong, Yuanjun Liu, Hao Yin, Yan Wang

Proceedings of the IEEE International Conference on Cybernetics and Intelligent Systems, 2024

MuGI: Multi-Granularity Interactions of Heterogeneous Biomedical Data for Survival Prediction.

Lifan Long, Jiaqi Cui, Pinxian Zeng, Yilun Li, Yuanjun Liu, Yan Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

Gated Spiking Neural P Systems for Time Series Forecasting.

Qian Liu, Lifan Long, Hong Peng, Jun Wang, Qian Yang, Xiaoxiao Song, Agustín Riscos-Núñez, Mario J. Pérez-Jiménez

IEEE Trans. Neural Networks Learn. Syst., September, 2023

2022

Multivariate time series forecasting method based on nonlinear spiking neural P systems and non-subsampled shearlet transform.

Lifan Long, Qian Liu, Hong Peng, Jun Wang, Qian Yang

Neural Networks, 2022

Echo spiking neural P systems.

Lifan Long, Rikong Lugu, Xin Xiong, Qian Liu, Hong Peng, Jun Wang, David Orellana-Martín, Mario J. Pérez-Jiménez

Knowl. Based Syst., 2022

LSTM-SNP: A long short-term memory model inspired from spiking neural P systems.

Qian Liu, Lifan Long, Qian Yang, Hong Peng, Jun Wang, Xiaohui Luo

Knowl. Based Syst., 2022

A Time Series Forecasting Approach Based on Nonlinear Spiking Neural Systems.

Lifan Long, Qian Liu, Hong Peng, Qian Yang, Xiaohui Luo, Jun Wang, Xiaoxiao Song

Int. J. Neural Syst., 2022